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Seungyeon Kim 0001
Person information
- affiliation: Meta
- affiliation (former): Google DeepMind
- affiliation (former): Google
- affiliation (former): Georgia Institute of Technology, GA, USA
Other persons with the same name
- Seungyeon Kim
- Seungyeon Kim 0002 — Samsung Electronics, Suwon, Korea
- Seungyeon Kim 0003
— Seoul National University, Seoul, Korea
- Seungyeon Kim 0004 — University of Science and Technology, Daejeon, Korea
- Seungyeon Kim 0005 — Yonsei University, Seoul, Korea
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2020 – today
- 2024
- [c20]Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer:
Analysis of Plan-based Retrieval for Grounded Text Generation. EMNLP 2024: 13101-13119 - [c19]Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar:
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. ICML 2024 - [i17]Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar:
Faster Cascades via Speculative Decoding. CoRR abs/2405.19261 (2024) - [i16]Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer:
Analysis of Plan-based Retrieval for Grounded Text Generation. CoRR abs/2408.10490 (2024) - [i15]Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar:
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs. CoRR abs/2410.18779 (2024) - [i14]Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster:
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA. CoRR abs/2410.20672 (2024) - 2023
- [c18]Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar:
Supervision Complexity and its Role in Knowledge Distillation. ICLR 2023 - [c17]Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar:
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR 2023 - [c16]Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar:
Efficient Training of Language Models using Few-Shot Learning. ICML 2023: 14553-14568 - [i13]Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar:
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR abs/2301.12005 (2023) - [i12]Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar:
Supervision Complexity and its Role in Knowledge Distillation. CoRR abs/2301.12245 (2023) - 2022
- [c15]Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar:
In defense of dual-encoders for neural ranking. ICML 2022: 15376-15400 - [i11]Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar:
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR abs/2208.06825 (2022) - 2021
- [c14]Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar:
RankDistil: Knowledge Distillation for Ranking. AISTATS 2021: 2368-2376 - [c13]Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh:
Evaluations and Methods for Explanation through Robustness Analysis. ICLR 2021 - [c12]Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar:
A statistical perspective on distillation. ICML 2021: 7632-7642 - [i10]Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar:
On the Reproducibility of Neural Network Predictions. CoRR abs/2102.03349 (2021) - [i9]Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar:
Balancing Robustness and Sensitivity using Feature Contrastive Learning. CoRR abs/2105.09394 (2021) - 2020
- [c11]Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar:
Semantic Label Smoothing for Sequence to Sequence Problems. EMNLP (1) 2020: 4992-4998 - [c10]Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra:
Why are Adaptive Methods Good for Attention Models? NeurIPS 2020 - [i8]Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar:
Why distillation helps: a statistical perspective. CoRR abs/2005.10419 (2020) - [i7]Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh:
Evaluations and Methods for Explanation through Robustness Analysis. CoRR abs/2006.00442 (2020) - [i6]Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar:
Semantic Label Smoothing for Sequence to Sequence Problems. CoRR abs/2010.07447 (2020)
2010 – 2019
- 2019
- [i5]Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra:
Why ADAM Beats SGD for Attention Models. CoRR abs/1912.03194 (2019) - 2016
- [j1]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio:
LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. 17: 15:1-15:24 (2016) - 2015
- [b1]Seungyeon Kim:
Novel document representations based on labels and sequential information. Georgia Institute of Technology, Atlanta, GA, USA, 2015 - [c9]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Estimating Temporal Dynamics of Human Emotions. AAAI 2015: 168-174 - [c8]Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Local Context Sparse Coding. AAAI 2015: 2260-2266 - 2014
- [c7]Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Local collaborative ranking. WWW 2014: 85-96 - [i4]Seungyeon Kim, Haesun Park, Guy Lebanon:
Fast Spammer Detection Using Structural Rank. CoRR abs/1407.7072 (2014) - 2013
- [c6]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
Beyond Sentiment: The Manifold of Human Emotions. AISTATS 2013: 360-369 - [c5]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Local Low-Rank Matrix Approximation. ICML (2) 2013: 82-90 - [c4]Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer:
Matrix Approximation under Local Low-Rank Assumption. ICLR (Workshop Poster) 2013 - [c3]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
The Manifold of Human Emotions. ICLR (Workshop Poster) 2013 - 2012
- [c2]Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon:
Automatic Feature Induction for Stagewise Collaborative Filtering. NIPS 2012: 323-331 - [i3]Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa:
Beyond Sentiment: The Manifold of Human Emotions. CoRR abs/1202.1568 (2012) - [i2]Seungyeon Kim, Joshua V. Dillon, Guy Lebanon:
Cumulative Revision Map. CoRR abs/1205.3205 (2012) - 2010
- [c1]Seungyeon Kim, Guy Lebanon:
Local Space-Time Smoothing for Version Controlled Documents. COLING (Posters) 2010: 552-560 - [i1]Seungyeon Kim, Guy Lebanon:
Local Space-Time Smoothing for Versioned Documents. CoRR abs/1003.1410 (2010)
Coauthor Index
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